Manages multiple GitHub issues in parallel, creating separate worktrees and stacked PRs.
Install
mkdir -p .claude/skills/sprint && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/6872" && unzip -o skill.zip -d .claude/skills/sprint && rm skill.zipInstalls to .claude/skills/sprint
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Work on a batch of GitHub issues in parallel using Agent Teams. Creates one worktree per issue with TDD enforcement, coordinates via a lead agent, then produces stacked PRs.Key capabilities
- →Coordinates multiple parallel agent teams
- →Creates isolated worktrees for specific issues
- →Automates issue-worker requirement extraction
- →Aggregates stacked pull requests
How it works
It spawns individual subagents to process specific issues in parallel, managing state through separate worktrees before merging.
Inputs & outputs
When to use sprint
- →Working on multiple GitHub issues in parallel
- →Enforcing TDD across multiple worktrees
- →Creating stacked pull requests
- →Automating issue-worker task distribution
About this skill
/sprint
Work on multiple GitHub issues in parallel. Each issue gets its own worktree with TDD enforcement. A lead agent coordinates, and stacked PRs are created when all work is done.
EXECUTE THESE STEPS NOW
When this skill is invoked, you MUST execute these steps immediately.
Step 0: Check Agent Teams Support
Check if Agent Teams are available:
echo "${CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS:-not_set}"
If the value is not_set or empty, fall back to setup-only mode:
- Parse the comma-separated issue numbers
- Fetch requirements for all issues (parallel issue-worker agents)
- Create worktrees and activate TDD for each
- Report the list of prepared worktrees and tell the user:
"Agent Teams not enabled. Worktrees are prepared with TDD active.
cd into each worktree and run
/write-teststo begin the TDD cycle, or setCLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1and re-run/sprint." - Do NOT invoke
/work-on-issue— it would create duplicate worktrees. The worktrees and TDD markers are already set up.
Step 1: Parse Issue Numbers
Extract comma-separated issue numbers from $ARGUMENTS:
- Remove
#prefixes, spaces, and other punctuation - Example:
67,68,69,70or#67 #68 #69 - Store as a list:
ISSUES=(67 68 69 70)
Step 2: Fetch Requirements (Parallel)
Spawn one issue-worker agent per issue, all in a single message so they run in parallel:
Task tool (ALL in one message):
For issue 67:
subagent_type: issue-worker
description: "issue-worker #67"
prompt: "Read GitHub issue #67 and extract:
1. Goal
2. Acceptance criteria
3. Edge cases and constraints
4. Files likely to be touched"
For issue 68:
subagent_type: issue-worker
description: "issue-worker #68"
prompt: "Read GitHub issue #68 and extract: ..."
(etc.)
Wait for all agents to return. Collect requirements for each issue.
Step 3: Create Worktrees and Activate TDD
For each issue, create a worktree and activate TDD:
.claude/scripts/worktree-create.sh issue-<N>-<short-desc> && \
cd .worktrees/issue-<N>-<short-desc> && \
bash .claude/hooks/tdd-state.sh activate <N> && \
cd -
Step 4: Check for Conflicts
Before launching parallel work, check if any issues touch the same files:
- Compare the "files likely to be touched" from each issue
- If overlap detected, note it — the lead will need to mediate
- If issues are tightly coupled, warn the user and suggest sequential work
Step 5: Create Agent Team
Create an Agent Team with one teammate per issue.
Lead (delegate mode — coordinates only, does not implement):
- Monitors teammate progress
- Mediates if teammates report conflicts on the same files
- After all complete: collects reports and determines PR ordering
Teammates (one per issue, spawned as parallel Task agents):
Task tool (ALL in one message):
For issue 67:
subagent_type: general-purpose
description: "sprint-teammate #67"
prompt: |
You are working on GitHub issue #67.
Working directory: .worktrees/issue-67-<desc>/
TDD enforcement is active.
Requirements:
<requirements from step 2>
Your workflow:
1. cd into your worktree
2. Create todos from acceptance criteria (TaskCreate)
3. For each todo, use the Task tool to spawn:
- subagent_type: tester (to write failing tests)
- subagent_type: implementer (to make tests pass)
Then run /update-docs if APIs changed
4. When all todos complete, report:
- Files you touched (git diff --name-only)
- APIs you changed (old → new signatures)
- Dependencies on other issues (if any)
- Any conflicts you encountered
For issue 68:
subagent_type: general-purpose
description: "sprint-teammate #68"
prompt: ...
(etc.)
Step 6: Collect Results
After all teammates finish, collect from each:
- Files touched
- APIs changed
- Conflict reports
- Test pass/fail status
Step 7: Create Stacked PRs
Spawn the pr-planner agent to determine dependency ordering:
Task tool:
subagent_type: pr-planner
description: "pr-planner for sprint"
prompt: "Given these completed issues and their changes, determine
the optimal PR ordering. Consider file dependencies, API changes,
and which PRs can merge independently vs. which must be stacked.
Issue reports:
<collected reports>
Output: ordered list of PRs with base branches"
Then create branches and PRs. For stacked PRs, rebase each branch onto the previous one before creating the PR:
# First PR targets main directly
gh pr create --base main --head issue-67-branch ...
# Subsequent PRs: rebase onto the previous branch first
git checkout issue-68-branch
git rebase issue-67-branch
git push --force-with-lease
gh pr create --base issue-67-branch --head issue-68-branch ...
If rebase conflicts arise, report them to the user rather than auto-resolving.
Step 8: Summary
Output a summary table:
## Sprint Complete
| Issue | PR | Base | Status | Files Changed |
|-------|-----|------|--------|---------------|
| #67 | #XX | main | Created | 3 files |
| #68 | #YY | issue-67-branch | Created | 5 files |
| #69 | #ZZ | issue-68-branch | Created | 2 files |
Stacked PR order: #XX → #YY → #ZZ
When to Use
- Multiple related or independent issues to batch together
- You want maximum parallelism
- Issues are small-to-medium sized (each < ~200 lines of change)
When NOT to Use
- Single issue (use
/work-on-issueinstead) - Issues that are tightly coupled and must be done sequentially
- Very large issues (each needs its own focused session)
Requirements
CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMSenv var must be set to1- Falls back to setup-only mode (worktree creation) if not available
Architecture
/sprint 67,68,69
│
├─ Fetch requirements (parallel issue-worker agents)
├─ Create worktrees + activate TDD
├─ Create Agent Team (lead = delegate, teammates = workers)
│
├─ Teammate #67 (worktree, TDD, subagents for test/impl/docs)
├─ Teammate #68 (worktree, TDD, subagents for test/impl/docs)
├─ Teammate #69 (worktree, TDD, subagents for test/impl/docs)
│
├─ Lead mediates conflicts
├─ pr-planner determines ordering
├─ Rebase for stacking (conflicts reported to user)
└─ Stacked PRs created
When not to use it
- →Single issue tasks
- →Projects with complex, non-modular dependency chains
Prerequisites
Limitations
- →Requires well-defined issue descriptions for worker success
- →Performance dependent on environment agent team support
- →Risk of merge conflicts in tightly coupled codebases
How it compares
It scales human-agent cooperation by managing issue-to-agent distribution rather than manual sequential handling.
Compared to similar skills
sprint side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| sprint (this skill) | 1 | 6mo | Review | Advanced |
| testing-workflow | 16 | 9mo | Review | Intermediate |
| dev | 2 | 6mo | Review | Advanced |
| fix-dependabot-prs | 1 | 6mo | Review | Intermediate |
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